Smart Communication Interpreter for Mute and Deaf People

Authors

  • Samiya Majid Baba Department of Electronics and Electrical Engineering, Lovely Professional University, Punjab, India
  • Indu Bala Department of Electronics and Electrical Engineering, Lovely Professional University, Punjab, India

DOI:

https://doi.org/10.51983/ajes-2022.11.2.3361

Keywords:

Deaf-Dumb, Sign Language, Electronic Speaking Glove, LCD

Abstract

As a consequence of birth anomalies and accidents, the number of hearing impaired and speech challenged sufferers has increased dramatically in recent years. When a deaf-dumb person speaks to a normal person, the normal person struggles to understand and demands that the deaf-dumb person display gestures to meet his or her needs. Dumb individuals speak to us in their own language. The only need is that we need to understand their language. Sign language is a communication capacity used by deaf and dumb people that uses hand signs, orientations, and movement of the hands, arms, or body, as well as facial expressions, to transmit the thoughts of a speaker fluently. However, most people struggle to understand this sign language. People who are unable to speak or have lost their ability to speak as a result of an injury find it difficult to transmit their message in society. We created an electronic speaking glove for this project. Dumb individuals may easily converse with normal people by merely wearing the glove. The system’s circuitry translates some activities, such as receiving a speech for each chosen button, making it easier for deaf/dumb people to converse with normal people. In this system, an LCD display is also employed; normal people’s voice is detected word by word and shown as text on the LCD display, making it easier for normal people to converse with deaf/mute people. As a result, this initiative will assist to bridge the communication gap between mute, deaf, and hearing persons.

References

United States, Public Health Service, "Healthy people 2000: National health promotion and disease prevention objectives," Jones & Bartlett Learning, 1991.

C. Padden, T. Humphries and C. Padden, "Inside deaf culture," Harvard University Press, 2009.

A. S. Kanter, "The promise and challenge of the United Nations Convention on the Rights of Persons with Disabilities," Syracuse J. Int’l L. & Com., vol. 34, no. 287, 2006.

N. E. Groce, "Adolescents and youth with disability: Issues and challenges," Asia Pacific Disability Rehabilitation Journal, vol. 15, no. 2, pp. 13-32, 2004.

D. Stephens and R. Hétu, "Impairment, disability and handicap in audiology: towards a consensus," Audiology, vol. 30, no. 4, pp. 185-200, 1991.

L. Terzi, "A capability perspective on impairment, disability and special needs: Towards social justice in education," Theory and research in education, vol. 3, no. 2, pp. 197-223, 2005.

O. R. Chanu, A. Pillai, S. Sinha and P. Das, "Comparative study for vision-based and data-based hand gesture recognition technique," in 2017 International Conference on Intelligent Communication and Computational Techniques (ICCT), IEEE, pp. 26-31, December 2017.

M. Neff, M. Kipp, I. Albrecht and H. P. Seidel, "Gesture modeling and animation based on a probabilistic re-creation of speaker style," ACM Transactions On Graphics (TOG), vol. 27, no. 1, pp. 1-24, 2008.

Downloads

Published

06-07-2022

How to Cite

Majid Baba, S., & Bala, I. (2022). Smart Communication Interpreter for Mute and Deaf People. Asian Journal of Electrical Sciences, 11(2), 1–5. https://doi.org/10.51983/ajes-2022.11.2.3361